Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and speedily
integrate with a wide variety of databases.

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About Us : Team AstroPython

Tom Aldcroft is a Science
Operations Team member and Flight Director for the Chandra X-ray Observatory and works at the Smithsonian Astrophysical
Observatory. He uses Python for Chandra
spacecraft operations analysis as well as research on several X-ray
survey projects. He is the author of the
asciitable,
cosmocalc, and
deproject
packages. He is also
interested in Python for the web and writes Django and Google App Engine applications
for presenting large multi-wavelength survey datasets. He has been the primary mentor for AstroPython

Thomas Robitaille is a Spitzer
postdoctoral fellow at the Harvard-Smithsonian Center for Astrophysics. He works on
studying Galactic star formation, mostly through mid-infrared to mm
wavelengths. This includes modeling multi-wavelength observations of young
stars and studying the global properties of star formation in the
Milky-Way. In his spare time he is a keen Python programmer and is one of
the co-developers of the APLpy and
ATpy packages. He also developed
the IDLSave package.He has been the secondary mentor for the project.

Aman Jhunjhunwala is an undergraduate Computer Science student with a passion for Big Data,Machine Learning and Web technologies. He has been the primary developer of this site as a part of Google Summer of Code-2015 programme under the AstroPy project.